{"id":"W2089201173","doi":"10.1145/2629530","title":"Trust Prediction via Belief Propagation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Computer science; Belief propagation; Graphical model; Factor graph; Probabilistic logic; Inference; Exploit; Machine learning; Expectation propagation; Artificial intelligence; Solver; Propagation of uncertainty; Theoretical computer science; Approximate inference; Data mining; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002700062,0.001162629,0.001284379,0.002131873,0.000826453,0.002073161,0.001914066,0.001578397,0.002279803],"category_scores_gemma":[0.02390206,0.0007076784,0.0009139816,0.00236327,0.001024093,0.004046094,0.00145664,0.002592301,0.0007631428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728475,"about_ca_system_score_gemma":0.001252539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274237,"about_ca_topic_score_gemma":0.0163829,"domain_scores_codex":[0.998204,0.0006789929,0.0001084009,0.0004075074,0.0004405302,0.0001605359],"domain_scores_gemma":[0.9862019,0.01036045,0.001023922,0.0006983111,0.001480319,0.0002350326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002303576,0.0001045397,0.006129575,0.0001438723,0.0001457368,0.0001412612,0.000267231,0.8448192,0.0006483581,0.02669946,0.004810773,0.1158596],"study_design_scores_gemma":[0.000006023804,0.000007668629,0.0001794227,0.000007656834,0.000009827857,0.000009443492,0.000009088511,0.9867534,0.0001762142,0.01262876,0.0002075584,0.00000496408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03755257,0.000686564,0.9573774,0.000892781,0.00008218361,0.00006995136,0.0003802589,0.0007686498,0.00218968],"genre_scores_gemma":[0.879011,0.0006888906,0.1167033,0.0001655483,0.0001474041,0.0001371753,0.0009280889,0.00008643488,0.002132107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02274237,"threshold_uncertainty_score":0.04521996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904383903233889,"score_gpt":0.2117986592574942,"score_spread":0.2027548202251554,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}